Instructions to use imshriya/mlforge-cicd-test-model-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use imshriya/mlforge-cicd-test-model-2 with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("imshriya/mlforge-cicd-test-model-2", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
Deploy run-ea544071-c318-4db0-aa39-3e54c8b37aa2 vea544071-c318-4db0-aa39-3e54c8b37aa2 via MLForge
Browse files- README.md +10 -0
- sgd_classifier.pkl +3 -0
README.md
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---
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library_name: sklearn
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tags:
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- mlforge
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- deployment-manager
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---
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# MLForge Run ea544071-c318-4db0-aa39-3e54c8b37aa2
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This repository was uploaded from the MLForge backend deployment endpoint.
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sgd_classifier.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:7e3e73fd023d54f09e93acc8129c37bfd16bb61dae5e58e397bd82c6ca42e92b
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size 921
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